{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x22aff587bc8>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1、散点图\n",
    "sns.jointplot(x=[1,2,3,1,2,3],y=[1231,122,12,12,3,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.array(range(1,1000))\n",
    "y = x**2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x22a8379a1c8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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h6TLtT36xX++uyNCQTvEa0ilBblfVYNShtUeje8QqPoouU3NDcAIANGpFvoDuX7hNr/+QI5cl2eFMTHtVlLBsa5427SzvPiW2ipTLko7qEqPBKVF0mZopTusHADRqN324SW/+mCOpcYSm/7W7uEzvrvhVrSOlCwYnaEhqNKGpGaPjBABo1H7NL22UgamCMVJA0h+6xahNNIfmmjs6TgAABIElukwtAcEJAADAIYITAACAQwQnAAAAhwhOAAAADhGcAAAAHCI4AQAAOERwAgAAcIgLYAIA0AzlbFmnMv+BrxxamJ0egmqaD4ITAADN0E9vzHQ+2LLk8/karJbmhOAEAEAz1GfMRYpL7XzAcUU5GVr53lPyer0hqKrpIzgBANAMpfQbrqQegw84Ljd9rVa+91TDF9RMcHI4AACAQwQnAAAAhwhOAAAADhGcAAAAHCI4AQAAOERwAgAAcIjgBAAA4BDBCQAAwCGCEwAAgEMEJwAAAIcITgAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAaLQCttFR3eLCXcZ+uSypcxuvUlpHhrsUhIAn3AUAAFAd2zbaurtEX/2yS36/X263W5YlSVa4S5NUHphsI513SJKuO7qjoiLoRbQEBCcAQKMSsI0sS5q9JEMPf75VPr+RpMrw5HKFPzi5LCkpNkL3je2q4Wmtw10OQojgBABoNAK2UWa+T5P+84uWbivY9/lAQLZth637VNFlOmtgom469iC18rpDun2EH8EJABB2AdvI7bL0yrIs3f9puorL7BrHGmPk9/vlcbtlhbD75LKkNtEeTR/bRUd2jQ/ZdtG4EJwAAGEVsI1yisp0w3sbtGhzvuPl/IGArMruU8MFKEuSkXRq37a69fhOioti19mS8acPAAgL2zZyuSy99eMO3Tt/iwpLA7VeR9XuU/BPznZbUusot+45qYv+0CMh6OtH00NwAgCEXMA22l3s180f/KKFG3bXe33+QEAuY+RyuYLSfaroMp3Qs42mnJimNtHsLlGOdwIAIGRsY+SyLH34c47u/Hiz8kpq32Wqcd22Ldu25fG4JVl1DlBuS4qJdOuu0Z11Uu82QasPzQPBCQAQEn7bqNDn1+QPN2r+2l0Ntx1/QC6Xq9bdp4ou09Hd43XX6M5KbBXRYDWi6SI4AQAaVEWXacG6Xbrjo43K3eNv+G3WsvvktiSvx6UpJ6bptL5tG/RkczRtBCcAQIPx20bFZQHdMXeTPvh5Z+i377D7dFjn1rpnTBclc9sUHADBCQAQdMYYWZalrzbu1uQPN2pHYVnYavmt+1S+y6sIUG5LinBbuvX4NJ01sB1dJjhCcAIABE1FYCous3Xnx5v11o87wl1SJb/fL5fLJbe7/GrfQzrGavrYLuoY7w1zZWhKCE4AgKAp8AX0wGfpWrhhtzLyS8Ndzj5s29a5Q9pryEGtdVq/dnLRZUItEZwAAEH16rLscJewX0mxERrbpy2hCXUS/MusAgAANFMEJwAAAIcITgAAAA5xjhMAAM1QzpZ1KvObA44rzE6XJGVkZDR0Sc0CwQkAgGbopzdm1mK0pT/96SytW7dWaWlpDVVSs0BwAgCgGeoz5iLFpXZ2NNZXmKcVr89UTk4OwekA6hScHn/8cT3wwAPKzMzUoEGD9Nhjj2n48OE1jp85c6aefPJJpaenKzExUWeddZamTZumqKioOhcOAABqltJvuJJ6DHY0Njd9bcMW04zU+uTw1157TZMmTdLUqVO1bNkyDRo0SKNHj1Z2dvXX7XjllVd0yy23aOrUqVq9erWeffZZvfbaa7r11lvrXTwAAEAo1To4zZgxQ5deeqnGjx+vvn37atasWYqJidHs2bOrHf/NN9/oiCOO0F//+ld16dJFJ554os4991wtWbKk3sUDAACEUq2CU2lpqZYuXapRo0b9tgKXS6NGjdKiRYuqXebwww/X0qVLK4PSxo0bNXfuXJ188sn1KBsAACD0anWOU05OjgKBgJKTk6s8npycrDVr1lS7zF//+lfl5OToyCOPlDFGfr9fl19++X4P1fl8Pvl8vsrf8/Pza1MmAAAtBvvM0GrwC2AuXLhQ9957r5544gktW7ZMb7/9tj788EPdfffdNS4zbdo0xcfHV/506tSpocsEAKBJYp8ZWrUKTomJiXK73crKyqryeFZWllJSUqpd5o477tAFF1ygSy65RAMGDNAZZ5yhe++9V9OmTZNt29UuM3nyZOXl5VX+bN26tTZlAgDQYrDPDK1aBafIyEgNHTpUCxYsqHzMtm0tWLBAI0eOrHaZPXv2yOWquhm32y1JMqb6K5p6vV7FxcVV+QEAAPtinxlatb6O06RJkzRu3DgNGzZMw4cP18yZM1VUVKTx48dLki688EJ17NhR06ZNkySdeuqpmjFjhoYMGaIRI0Zow4YNuuOOO3TqqadWBigAAICmoNbB6ZxzztGOHTs0ZcoUZWZmavDgwZo3b17lCePp6elVOky33367LMvS7bffru3bt6t9+/Y69dRTdc899wTvVQAAAIRAna4cPnHiRE2cOLHa5xYuXFh1Ax6Ppk6dqqlTp9ZlUwAAAI1Gg3+rDgAAoLkgOAEAADhEcAIAAHCI4AQAAOAQwQkAAMAhghMAAIBDBCcAAACHCE4AgKAp9duyA2Uypvp7kTYGbWM8ssJdBJqsOl0AEwCA//VzRoGufn2lTFmpjCQrwiuXu/HsZtyWdOnIDvrz4GS5XUQn1E3jeUcDAJqksoCtJ7/Yokc+2yjrd3nElPlkB/yyIryyrPAGlW7tojTjjwerX0qrsNeCpo3gBACos3VZhbr2zVVak1koI6n8f35j7ICMb49cEV5ZYeg+WZIuGp6iG49Lk8tlEZpQbwQnAECtBWyjp79O10Of/CIj8795aR92mU9WiLtPaQlePXhadx3SKS4k20PLQHACANTKxpw9mvTmKv2wPb9Wy4Wq+2RJ+uvQZN06qjPnMiHoCE4AAEds2+iFxds0/eP1CpgD9Zj2s54ynxTwlweoIHefUuMi9cCp3XVYl3gZYzg0h6AjOAEADmjrrmJd/9YqfbclLzgrtAOyfcV7u0/uoKzyrEHtNeXELor0lF9ph9CEhkBwAgDUyBijV7//VXd/tE5lgbp3mWpYu+yyEingkSsiss5BJyk2QtPGdtMxB7ehy4QGR3ACAFQrI69EN73zs776ZVfDbsj2y/YF5Ir0ynLVrvt0Wr92unNMV0VHlC9HaEJDIzgBAKowxujtFZma8sFa+cpCdQVwI7u0RJbbI8tz4O5T2xiP7jm5m07o1Va2MXIRmBAiBCcAQKUdBT7d/O5qfbZupyztc1mmBmcCfhk7UH7uUw3dp9G92uresd3Uylv+PKEJoURwAgBIkj74KUu3/me19pQGJIU+NFUyFd2nCFmeiMruU3yUW3ee1FWn9Euky4SwITgBQAu3s6hUd7y3Rh/9vCMsXaaamECZjF1+2YI/9Gyn+07trvio8t0WoQnhQnACgBZs265infrkEhWU+CU1ntBUyRhNODxFk47vLts2cnFBS4QZwQkAWrAV2/K1u9gf7jL2a3SfJEkiNKFRIDgBABo1jsrVTc6WdSrzO+shFmanN3A1zQfBCQCAZuinN2bWbgHLks/na5BamhOCEwAAzVCfMRcpLrWzo7FFORla+d5T8nq9DVxV00dwAgCgGUrpN1xJPQY7GpubvlYr33uqYQtqJlzhLgAAAKCpIDgBAAA4RHACAABwiOAEAADgEMEJAADAIYITAACAQwQnAAAAhwhOAAAADhGcAAAAHCI4AQAAOERwAgAAcIjgBAAA4BDBCQAAwCGCEwAAgEMEJwAAAIcITgAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAAOAQwQkAAMAhghMAAIBDBCcAaMESW0WEu4QD+jWvRLYx4S4DkERwAoAWyxijWK9LyTGSjJHUuMKJ25JclrRhR1FjKw0tmCfcBQAAQstv25KRZvx3rf71+QYF7PJUYnm8krtx7BYsSV3axeiRs/urX4fW4S4HqNQ4/oYAAELCNka/ZBXqmleXaU1mfpXnjN8n2f7yAGVJe/8npFxWefPriqM76+rjusnr4cAIGheCEwC0ABVdpX9+uk7/XLBOZYEajn3ZAZnSYlkRkZIrtLsIy5I6tYnWw2f105BO8SHdNuAUwQkAmjnbNtqys0jXvLpUP23Lc7CEkSnzSa6ALE9kg3efKrpMF49M0w2juikqwt1g2wLqi+AEAM1UwDayLOmpzzfo4flr5fPbtVuB7ZcpDciK8EquhgkzLktKifPq4bP6aXiXNg2yDSCYCE4A0AwFbKPtu/bo2jnLtGzLrnqsyciUlUguT1C7Ty5Lso3010M76pYTD1YrL7sjNA28UwGgGQnYRm6XpRe/2aT7PlqtkrJAcFYcxO6Ty5Lax0bqwT/105Hd2wanPiBECE4A0EwEbKPs/BJdN2eZvt24swG2sLf75PbIcte++1TRZTprSKpuH9NTraPYBaHp4V0LAE2cbRu5XJbmLNmiez9cpSJfkLpMNQn4ZezA3ssWuMq/DncAbktKiInQ/Wf01R96JTZsfUADIjgBQBMWsI1yi3y6/rXl+mLdjtBt2FR0nyJkuSNqDE+Wyi/6PXZAsu4c20sJMY3/Fi/A/hCcAKAJqugyvbNsq+56b6XyS/zhKSRQJlN50cyq3Se3JcVGeXTf6X00um9SeOprwXK2rFOZ39m9agqz0yVJGRkZDVlSs2AZ0/jvnJifn6/4+Hjl5eUpLi4u3OUAQNgYYxQwRvnFZbrpjRX65OescJf0m73dJ8uyZCSN7tNe9/yxt9q1igx3ZS1KxT6z9ix5vV6tW7dWaWlpQa+ruaDjBABNyGdrsrWzsET3fPizdu8pC3c5VQXKFOORRvRM1R8Hpui0gcmyHJz/hIbRZ8xFikvt7Hi8rzBPK16fqZycHILTfhCcAKAJ+Xhlht5aulV+u3EeLHBbRrMvGBzuMiAppd9wJfUY7Hh8bvrahiumGeHuiQAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAAOAQwQkAAMAhghMAAIBDdQpOjz/+uLp06aKoqCiNGDFCS5Ys2e/43bt3a8KECUpNTZXX61XPnj01d+7cOhUMAAAQLrW+AOZrr72mSZMmadasWRoxYoRmzpyp0aNHa+3atUpK2vdeRKWlpTrhhBOUlJSkN998Ux07dtSWLVuUkJAQjPoBAABCptbBacaMGbr00ks1fvx4SdKsWbP04Ycfavbs2brlllv2GT979mzl5ubqm2++UURE+V2xu3TpUr+qAQAAwqBWh+pKS0u1dOlSjRo16rcVuFwaNWqUFi1aVO0y7733nkaOHKkJEyYoOTlZ/fv317333qtAIFDjdnw+n/Lz86v8AACAfbHPDK1aBaecnBwFAgElJydXeTw5OVmZmZnVLrNx40a9+eabCgQCmjt3ru644w499NBD+sc//lHjdqZNm6b4+PjKn06dOtWmTAAAWgz2maHV4N+qs21bSUlJeuqppzR06FCdc845uu222zRr1qwal5k8ebLy8vIqf7Zu3drQZQIA0CSxzwytWp3jlJiYKLfbraysrCqPZ2VlKSUlpdplUlNTFRERIbfbXflYnz59lJmZqdLSUkVGRu6zjNfrldfrrU1pAAC0SOwzQ6tWHafIyEgNHTpUCxYsqHzMtm0tWLBAI0eOrHaZI444Qhs2bJBt25WPrVu3TqmpqdWGJgAAgMaq1ofqJk2apKefflovvPCCVq9erSuuuEJFRUWV37K78MILNXny5MrxV1xxhXJzc3XNNddo3bp1+vDDD3XvvfdqwoQJwXsVAAAAIVDryxGcc8452rFjh6ZMmaLMzEwNHjxY8+bNqzxhPD09XS7Xb3msU6dO+vjjj3Xddddp4MCB6tixo6655hrdfPPNwXsVAAAAIVDr4CRJEydO1MSJE6t9buHChfs8NnLkSH377bd12RQAAECjwb3qAAAAHCI4AQAAOERwAgAAcIjgBAAA4BDBCQAAwCGCEwAAgEMEJwD4nQJfINwl7FfANpJlhbsMoMWq03WcAKC5KS6z9fbPeVq0tVhDUqN0zoB4xUa6D7xgCC1JL9Bn22154pNlinYr4CsOd0lVeD0uXXtCbxljJEkWAQ/NEMEJQIu3NsenF5fvUr6v/J6aP2SWaF2OT+cNStDAlOgwV1ce6mZ+sV0vLc2WZUmWy1Jk67YKRBartHC3ZOwDrqOhDeqUoEfOPUSd2raSZVmV4QlobghOAFosn9/Wu6vz9eWWPbIkVezqbSPtKTN66vtdGt6xRGf1j1dMRHjObFjxa6Fuen+TtueXykgqzyPlnRx3ZJSi2iSrtHCX7NKSsNQX4bZ09aheuvK4HpKM3K7y2ug2obkiOAFokX7J9emF5bu1q7j8nKb/7Y9U/P7d9mKt3uHTBYMT1DcpKmT1lfptPfb1r3p2cZZcVnmY24dlybIkb1w7BUr2qLRod0WyCok+qXF65K9DdXBSrFyWpYpABzRnBCcALUppwOiDtfn6dGNRlS5TTYykwlJbTyzJ1eGdonVmv3hFeRq2+7Qqs0g3frBJm3N9MpIC+y1yb/fJG62oSK9KC3bJLvM1aH0el6Urjuuha0/oKSPtDU1Ay0BwAtBibN5VqheW71LOnuq7TDWpGLdoa7F+3uHThYPbqGeiN+j1lQWM/rUoQ08uynAU6qqwLFmWS974RPlLilRWlNcg3aeDk2L1yLlD1adDHIEJLRLBCUCzVxYw+mh9geZvKJRl1TKQ/I6RlFdi69Fvd+qYLq10Wu/W8gap+7RuR7Fu/GCT1u8ornN9Fd0njzdG7siooHafXJZ0ydHddePoPrIsukxouQhOAJq1bXllen75LmUW+iXVvwlTsfgXm4v0U1aJLhrSRt3aRtZ5fX7baPaSTD365a9V1l8vv+8+FReqrCi/XmvukthKD/9liAZ3asNJ32jxCE4AmqWAbfTfDYWau66gQa4XaSTtLg5oxjc5Or5bK53SK04R7tptaOPOEt30wSatytoT/AIrzn2KavVb98lfWrs1WNK4w7tq8ti+clsWoamJydmyTmV+54G5MDtdkrR69WolJiYqLS2toUpr0izTBC62kZ+fr/j4eOXl5SkuLi7c5QBo5DIKyrtM2/P9IdmeJSmxlVsXDWmjzgkH7j7ZxujF77M14/Ptso05wMnfwWBkjBSoOPfJgYPaRGvGOYdoeLd2MsYQmpqQin1m3ZSfXRcdHaM1a1YTnqpBxwlAs2Ebo083Fum9Nfkh3a6RtHNPQA9+laPRPWJ1Uo/W8riqDxrpu3y65cNNWv5rUQgrLL9sQUX3yVeQK+Mvq3H0uSM6a8qp/RThLj9/i9DUNPUZc5HiUjvXapmImNYq21OgxbPvVE5ODsGpGgQnAM1CdqFfL6zYpS27aw4EDaniOkvz1hfqh4wSjTukjQ6Ki/jd80ZzVuzQ/Z9tk7/hW0zVsixLcrvljW8vf3Gh/HuqBsyU+Cg9cPZgHdUziS5TM5DSb7iSegyu9XK56WuDX0wzQnAC0KTZxuiLzUV6d3V+9ReJDIOsIr/u/3KHTu7ZWid0j1VWYZlunbtZi9MLwl2aKrpPnuhYub1RKs3fJRMo05mHHKS7zxhY+S1BQhNQPYITgCarsNTW09/n6pfc2p303NAqAtwHawv07sqdWrxpl8oC4b+f3O9ZliXL7VFC+2Q9OLaTju/VXrYxXGYAOACCE4Ama/mvxY0uNP2vbzftks/fuELTbywd1TVex/dqL4lrMwFOhOeulQAQBAFjGv3d0RrJ0cMauWs4iR1A9QhOAAAADhGcAAAAHCI4AQAAOERwAgAAcIjgBAAA4BDBCQAAwCGCEwAAgEMEJwAAAIcITgAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAAOAQwQkAAMAhghMAAIBDBCcAAACHCE4AAAAOEZwAAAAcIjgBAAA4RHACAABwiOAEAADgEMEJAADAIYITAACAQwQnAAAAhwhOAAAADhGcADRZbksy4S7iAFyWFe4S9qssYIe7BKBJITgBaJL8AVt9Ej2yiwskScY0zgg1vEsbxUS65GqE+cltSd+mF2jjzuJwlwI0GZ5wFwAAtWGMkWVZ+mrNr7rhpa+UmbdHB3VI1aD+/eR2u+Ryhf/fg5Yky5IGJEepS0JrjekVr9eXZ2v59oJwl1ZF/5RWuu+ULurcJircpQBNBsEJQJPhD9gq9Qc05fVvNeeb9ZWPb/s1Qzk7czVkYD8lJyVJxpQnlzBpE+3W0A7RahVZHuJivR5dfFgHLduWrznLsuTz27LD1CBzW5JlWZp0dEddOCxJ7sbYCgMaMYITgEavosv03S9ZuvaFL7Q9t2ifMSU+nxZ9t0xpB3XUwH595XJZIe0+VXSZ+iV51a1NpKxqgtshB8Xp4MQYvbosUysz9n0NodArKVr3n9JV3dtFh2X7QFNHcALQqPkDtvy2rbvf+k4vfrFaBzqVKX3bdu3I2alDBg1Q+8R2Ies+xUe5NKxDtGK97v2Oi4vy6G8jO+q79Hy9viJLZQHT4N0n996XP/HIDrpkRIo8dJlahJwt61Tmr/2bqzA7XZKUkZER7JKaBcs01jMqfyc/P1/x8fHKy8tTXFxcuMsBECLGGC3dlK1rn/9Cm3fU/vygLmmdNKBvb7ksS1YDdJ8q4kffJK8Oblt9l2l/dheX6eXvM7Ume0/Qa6tgSTo4MUr3n9JVvZNiGmw7aDwq9pn1Y8nr9WrdurVKS0sLSl3NBR0nAI2OP2DLNkbT3v1ez376s+w6/vtuc/pWZefkaOiggWrXtk2Qq5Rae8u7THFR++8y1SQhOkJXHnmQvtmcp7d+yFbADl73qaKp9LfDUnTF4amKdIf/pHmEVp8xFykutXOdlvUV5mnF6zOVk5NDcPofBCcAjYoxRqu35+qq5z7Xhsy8eq9vz55ifblosbp37ax+vXuVn4tUj+5TRU+pV6JXPRMj632dJsuydETXBPVOaqWXvs/QLzn1vzSAJalTglcPnNJVA1Jb1Xt9aJpS+g1XUo/BdVo2N31tcItpRghOABoF/94LMT74wTI9+d+fFAjyiT+/bNqirOwcDRs8UPHxcbU+rFahVaRLwzpGK6GOXaaatGsVoauP7qQvf9mtd3/aIdvUvvvksspP6Ro/PFlXH9lBXg9dJiDYCE4Aws42Rhsyd+uq5z7X6u27Gmw7hUVF+vybb3Vwty7q07OHLEuyrAOHC0vlVyjv2S5SvRK9DfYVfpdl6ZiD26hPciu9+F2GtuwqqcWyUmpcpB44pauGdIxtkPoAEJwAhFHALu8yPfbRD3rkox9CcvsPY4zW/7JJmVk7NGzIIMW1jj1g9ykmwtLQjtFqGx2aj8yk1pGadFyaPlu/S++v3CEj1dh9clnlz513SJKuO7qjoiPoMgENieAEICxs22jzjgJdNXuhfkzfGfLtFxQWauFX36jXwd3Vs0f3vddh+i1AVXSZureNVN/2DddlqonLsnR8z7bqm9JKLy7J0LY8XzVjpPatInTf2K4a0bl1SOsDWiqCE4CQMcbI3nsxy1nzf9JDHyyXzx8Iaz1r1m9QRla2hg0ZqNhWrSrDU5SnvMuUGBPej8nUOK9u+ENnzV+bq49W51Q+bhvpTwMSdfNxB6nVAa4dBSB4CE4AQmZnYYn2+Py66rnPtXRjdrjLqZSXn6/Pvvxag/v1Uee0NHVOiFD/5KhGc6FIt8vSSX3aqX9qK81ZlqlCX0DTTu6io7rV91o9AGqL4AQgZG566WstWLU16N+YCwbbNvp121ZNOKFfo71/20EJUXr6zz2V1MrDN+aAMOFvHoCQsY1plKHp9xpraKrgsixFuBt3jUBzRnACAABwiOAEAADgEMEJAADAIYITAACAQwQnAAAAhwhOAAAADtUpOD3++OPq0qWLoqKiNGLECC1ZssTRcnPmzJFlWTr99NPrslkAAICwqnVweu211zRp0iRNnTpVy5Yt06BBgzR69GhlZ+//KsCbN2/WDTfcoKOOOqrOxQIAAIRTrYPTjBkzdOmll2r8+PHq27evZs2apZiYGM2ePbvGZQKBgM477zzdeeed6tatW70KBgAACJdaBafS0lItXbpUo0aN+m0FLpdGjRqlRYsW1bjcXXfdpaSkJP3f//1f3SsFAAAIs1rdqy4nJ0eBQEDJyclVHk9OTtaaNWuqXearr77Ss88+qxUrVjjejs/nk8/nq/w9Pz+/NmUCANBisM8MrQb9Vl1BQYEuuOACPf3000pMTHS83LRp0xQfH1/506lTpwasEgCApot9ZmjVKjglJibK7XYrKyuryuNZWVlKSUnZZ/wvv/yizZs369RTT5XH45HH49GLL76o9957Tx6PR7/88ku125k8ebLy8vIqf7Zu3VqbMgEAaDHYZ4ZWrQ7VRUZGaujQoVqwYEHlJQVs29aCBQs0ceLEfcb37t1bP/30U5XHbr/9dhUUFOiRRx6pMRV7vV55vd7alAYAQIvEPjO0ahWcJGnSpEkaN26chg0bpuHDh2vmzJkqKirS+PHjJUkXXnihOnbsqGnTpikqKkr9+/evsnxCQoIk7fM4AABAY1fr4HTOOedox44dmjJlijIzMzV48GDNmzev8oTx9PR0uVxckBwAADQ/tQ5OkjRx4sRqD81J0sKFC/e77PPPP1+XTQIAAIQdrSEAAACHCE4AAAAOEZwAAAAcIjgBAAA4RHACAABwiOAEAADgEMEJAADAIYITgJDI3pWvpd8vli9zg4y/LNzlVOuYPqka3jFaqbF1usRdg3O7pIQot6xwFwK0YI3z0wFAs/KfL5bqupmvqGBPsWzbqKQ4X5Htu8gd2zbcpUmS4mMidfefD9OZIw6WMUb9kqOUFOvX6h0+lQZMuMuTJLWNdqtfkleRbmITnMnZsk5l/rq9fwuz0yVJq1evliQlJiYqLS0taLU1ZZYxpnF8KuxHfn6+4uPjlZeXp7i4uHCXA8Ch3PxC3fjYHL37+VJZlvS/nzbu2LaKSOwsyx2+f8Md1+8gzbjwKLWJ9crzu9tF2cYoYEurd/iUXeQPW31uS+rRzquD4iNkjJFlEZywfxX7zPqzJJX/pY2OjtGaNasJT6LjBKCBzFv0o66e8ZJ2F+yRtG9okqRAYa7s4nxFtO8qd6uEkNYXGxWhKX8arr8e2Uu2beRyVQ0kLsuS5TIamBKlrMIyrdnhU5kd0hKVEOVS/6QoeT3ltRGaUBt9xlykuNTOdV4+Iqa1ouPbKT9jsxbPvlM5OTkEJxGcAARZflGxJj/xuubM/1Yuy5J9gKa2CfhVmrle7taJimjXKSTdp8N7perRi45W+7hoSdonNFWoCCrtW3nUJtqjn7NLlLMn0OD1uSzp4LaR6hQfUaUOoDZS+g1XUo/B4S6j2SE4AQiaz77/WVc+8IJy8gok6YCh6fcCBTmy9+QpIqmr3DHBOMywr+hIj247Y5guOravArYtt8vZ92NclqUIl9Hg1Gj9WlCmdTk++Ruo+xTndal/cpSiPRaBCWiECE4A6q1gT4mmPvWWXpj7laMuU01MoEylGevkjmtf3n1yuYNW47BuSXrs4mPUoU0rSXIcmipUhJjUWI/aRbu1Ktun3OLgdZ8sSd3bRqpzAl0moDEjOAGol69/XKcr7nteGTt3S6pdl6kmgfwde7tP3eSObl2vdXk9bt142iH626j+MsbUOjD9L8uyFOmWDukQrW15ZVq/06f6fvGudWR5lykmgi4T0NgRnADUyZ6SUv3juXf1r3c+k8tlybaD+wVd4y9V6a9r5I5PVkTbg2TVIfAM7pyoxy4+Rp0T4+SyLClIoaQi3HSM8yixlVursnzaVVL77pMlqWubSHVtQ5cJaCoITgBq7bufN+qy6bO1NStXkoIemn4vkJcle89uRSZ1kysq1tEyEW6Xrh07WBNHD5LMvt+YCxbLsuR1S0M7Rit9d6k25JbK6VS0inSpf5JXsZEuAhPQhBCcADjmKy3T9Jc+0GOvz5fLCs5hOSdMWal821fLk5AqT9sOsqyau099OrbV4xcfo4NTE8q7TA18ne2K0NMpPkLtW3m0MqtEeb6azxy3JKUlRKh728gqywNoGghOABxZsW6LLpv+nH7Zni1jTL3P66md8o35d2coULRLkcnd5PK2qjLC47I0YfRAXTd2iCTtDU2hY1mWojzSsI7R2rK7TBt37dt9iomw1D8pSq29dJmAporgBGC/Ssv8mvHqR3ro5Y9kWZbCfbMBU1Yi37af5WnTQZ42qbIsl3qkJOixi49R34Pahjww/V5FGOqcsLf7lF2igr3dp7T4CB3cji4T0NQRnADU6OdN23XZ9Oe0evP28it/N6I7NPl3/SoV52ni+WfqljNHyLKssIam37MsS9ER0vCO0dqaV6Y4r1sJ0cG7tAKA8CE4AajRGTfN1K6CPY0pL1Xxx5F9dcefDw93GdVy/e7cJwDNR/0uaAKgWdtduEcBO8Q3aKuFtnGtGnV9FTg0BzQfBCcAaECEJqB5ITgBAAA4RHACAABwiOAEAADgEMEJAADAIYITAACAQwQnAAAAhwhOAAAADhGcAAAAHCI4AQAAOERwAgAAcIjgBAAA4BDBCQAAwCGCEwAAgEMEJwAAAIcITgAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAAOAQwQkAAMAhghMAAIBDnnAXAAAAgi9nyzqV+U2911OYnS5JWr16tSQpMTFRaWlp9V5vU0VwAgCgGfrpjZlBXJul888/X5IUHR2jNWtWt9jwRHACAKAZ6jPmIsWldg7KuiJiWis6vp3yMzZr8ew7lZOTQ3ACEHrGGFmWFe4ymjTmD6heSr/hSuoxONxlNDucHA6EQcC2JUml/oD8ATvM1VQvYNs6/djh4S6jRpYlfbZ0tfYU+8JdCoAWhOAEhFggYGtn/h79ZfprGnHtLH25crOk8u5TY2DvreP9Fb9qUVF7RXUeJLk8khpPZ8ftcql1TLRuvehUxcZEhbscAC0Ih+qAELFtI5fL0ptfr9IdL36i/D3lnZJz73td5x47UPeMG6VIj0ced/j+PeO3bRWW+HXzGyv08apMSVJEmw5yx7ZTydafFMjfEbbapPLoZiSdMKK/Hr72PCW1iQtrPQBaHoITEAL+gK38PSW69l9z9d9lG/Z5/tWFP+rLlZv1yGVjdUS/ziE/98k2Ri7L0ierMnXr2z8qt6i0yvOuCK+iuw6Vf9d2lWz7WbJtlUeY0HG7XIr2RuiBq87V2ccP59wmAGFBcAIaUEUg+WDJGk1+7r/aVVhS49htOfk6695XNe74Ifr7+cfL43aFpPvkD9gqLgvotrd/1Hsrttc4zrIsRbQ9qLz7lP6TAoU7G7y23zt6SC89ev2F6pCYENLtAsDvEZyABuIP2CosKdWNz3yk9xevdbSMMdLznyzXwp826bErTtWwHh0arLNS0dX6Yt0O3fzmCu0ocHaStSsyWtHdD1XZzq3ybV9dXnQDdZ/cbpciPW5Nu/LPOv+kI+gyAQg7ghMQZJWHvZZv0A3PzFNO/p5ar2Nz1m798c5/69Ixw3TbX46Vy7KC2n3yB2z5/LamvvuT3ly6tdbLW5alyMQ0eVonqiT9RwWKdgWttt8b0be7Hr9xnNJS2jXI+gGgtghOQBD5A7ZKSst08+z/6q2vV9VrXbYx+tfc77RgxS96YsJpGtAlud4dl4ou0+KNO3XD68uVkVfzoUMnXN4YRR88QmU5W+T7da0ks7cDVXduV/khyrsu+5MuPuVouVx8+RdA40FwAoKgIpB8uXKzrntqrjJ3FQZt3Rt+zdWYO17QhFMP001nHSVJdeo++QO2/LbR3e+v1MvfbglafZZlKbJ9F3lat1dJ+g8K7Mmr1/qG9OysJ2++SN06JgWpQgAIHoITUE/+gK1Sv1+3vfCJXl34Y4NsI2AbPfqfRZq/bIOemHCaeh2UKJerdt2n5em7NOm15dqaW/tDh064olopusdIlWZvUmnGur2POus+uV0uuVyW7rj4dF1+xh/kDuMlGQBgfwhOQB1VdJmWrN2mq2d9oG05+Q2+zdVbd+jE257TtacfrmvPOFwy2m/I8Ads2Uaa9uEqPf/NpvoeRTsgy7LkTe4mT1x598kuLnC0XL9uHTXrlvHqlZbasAUCQD0RnIA68Ads+QO27nz5Uz3/ybIGDyS/Vxaw9cBbX+njZev1xITT1C2lbbXdJ2OMVv2ap+vmLNPGHUWhK1CSO7q1YnoertKsjSrNXF9+f5T/mST33nOXbr7wFF1zzonyuN0hrREA6oLgBNSSMUbLf8nQVU++r81Zu8NWx4+bsnT85Nm64U9HasIph8nIyO1yyR+wZSQ99PEaPfX5BtlhupOLZbnkTTl4b/fpR9klhb97TurRKVn/uuVi9e9+UHgKBIA6IDgBtVDqD+ieOQv19EffV97TLZx8ZQHdM+dzzVta3n3qnJSgdVkFuvbVZVqX5ewwWUNzx8Tv7T79orKsX2RZlq479yTdcN7JiozgIwhA08KnFuDQxCfe19INv2pTZsNcs6g+lq7/Vcfd/or+cPhQLVyTLX+42kw1sFxueVN76u4LR2lk90T160aXCUDTRHACHFqzdUejDE0Vikv9+uTnrHCXsV9dOqaoX7eUcJcBAHXGd34BAAAcIjgBAAA4RHACAABwiOAEAADgEMEJAADAIYITAACAQwQnAAAAh+oUnB5//HF16dJFUVFRGjFihJYsWVLj2KefflpHHXWU2rRpozZt2mjUqFH7HQ8AANBY1To4vfbaa5o0aZKmTp2qZcuWadCgQRo9erSys7OrHb9w4UKde+65+uyzz7Ro0SJ16tRJJ554orZv317v4gEAAEKp1sFpxowZuvTSSzV+/Hj17dtXs2bNUkxMjGbPnl3t+JdffllXXnmlBg8erN69e+uZZ56RbdtasGBBvYsHAAAIpVrdcqW0tFRLly7V5MmTKx9zuVwaNWqUFi1a5Ggde/bsUVlZmdq2bVvjGJ/PJ5/PV/l7fn5+bcoEAKDFYJ8ZWrXqOOXk5CgQCCg5ObnK48nJycrMzHS0jptvvlkdOnTQqFGjahwzbdo0xcfHV/506tSpNmUCANBisM8MrZB+q2769OmaM2eO3nnnHUVFRdU4bvLkycrLy6v82bp1awirBACg6WCfGVq1OlSXmJgot9utrKyqd2DPyspSSsr+73j+4IMPavr06frkk080cODA/Y71er3yer21KQ0AgBaJfWZo1arjFBkZqaFDh1Y5sbviRO+RI0fWuNz999+vu+++W/PmzdOwYcPqXi0AAEAY1arjJEmTJk3SuHHjNGzYMA0fPlwzZ85UUVGRxo8fL0m68MIL1bFjR02bNk2SdN9992nKlCl65ZVX1KVLl8pzoWJjYxUbGxvElwIAANCwah2czjnnHO3YsUNTpkxRZmamBg8erHnz5lWeMJ6eni6X67dG1pNPPqnS0lKdddZZVdYzdepU/f3vf69f9QAAACFU6+AkSRMnTtTEiROrfW7hwoVVft+8eXNdNgEAANDo1Ck4AQCAxi1nyzqV+U1Q11mYnS5JWr16dbXPJyYmKi0tLajbbGwITgAANEM/vTGzgdZs6fzzz6/2mejoGK1Zs7pZhyeCEwAAzVCfMRcpLrVz0NcbEdNa0fHt9nk8P2OzFs++Uzk5OQQnAADQtKT0G66kHoPDXUazE9IrhwMAADRlBCcAAACHCE5oFNZs/lUPvfKR8gr3hLuUagUCAWVvT1egaHe4S6lRp8Q4XT2qpxJjG++tF1Liar5HJQA0BZzjhLAKBGz98835uvf59+QP2HrmPwv1xI3jdNywvuEurdLGbZm67O+PaMvadZIkd2xbRSR2luVuPH99zv/DIN19wShFeyP0f0d11+Q3V2juTxnhLqtSUpxX9581WP0PSgh3KQBQL43nkx8tzoZtWbp8+nNavm5L5WM5uwt01q2PadzJR+rOv/1JrWPC16GwbVvPvvWxbnv0BfkDgcrHA4W5sovzFdG+q9ytEsJWnySltm2tmZedrGMGdJUx5ddraR3l0RMXHKoPftiu29/5Ubv3lIW1xj8O6ah/nDFQ0RHusNYBAMFAcELI2batp/+zUH9/+m0FTNWLs9l7f39p3teav2Slnrx5vI4c1DPkNaZnZOuKu/6pr5atqvZ5E/CrNHO93K0TFZGYJssV+lDw56P6696LTlRUZPlfY8uyJEmuvf89aUCqDj84UTe9sUKf/JwV8vratYrUtD8N0on9U2UbU1kXADRlBCeE1JaMHF35wPP6duUv+x1n20aZuXn6440P67IzjtPt409XTFRkg9dnjNFL7y/QzQ/Nlq/swJ2aQEGO7D15ikjqJndMXIPXJ0nt41tpxqVjdMIhB+83kHhcLiVER+qZi0boze/Tddd7K5Vf4g9JjWMGpGr6nwaplbf8I4bQBKC5IDghJIwxeuHDr3TbrDdU9rvDXvtj2+Xdp6ffXah5i37Uv265WIf27dZgNWbsyNXEfzyhT75dXqvlTKBMpRlr5Y5rr4h2nRq0+/THw3rrgUtOUoy3PEQeKJC4XOXPn3HIQTq6Z5Kuf225vly/o8Hqi4+O0N2nD9BpQw6iywSgWSI4ocFtz87VVQ+9pM+Xr6nT8rYx2padqzHXPair/nyCbrngFHkjI4JWnzFGb3z8pSbd/5T2lPjqvJ5A/o7fuk/RrYNWnyS1bR2t+y4erVNH9JZtm8pA5JTb5VK7WK9eunSkXv52s+79cJWKfM4CrFN/6JOsB84erISY8j8bQhOA5ojghAZjjNGr87/Vzf+cI19Z/Q4RBfZ2nx57fb7mfv2D/nXLeA3uWf9bCezIzdM1057Uh198J8uyKk+wrivjL1Xpr2vkiU+Wp+1Bslz1v+LHScN6aMalJysupvwyA7UNTRXce5f7y/DO+kPvZF03Z5m+3biz3vW1jvJoymn9dfawtDqFOgBoSghOaBBZuXm6Zsa/NX/JSlmSgnV/bmOMNv26QydcdZ+uP2+MJp07RpERdXsbv7tgka6Z9qQK9hRXrjtY/HlZCuzZrcikbnJFxdZpHfGtvLrnwhN01lH9gxpI3C5LSXFRmnP5EZr95S+6f94alZTVrft0ZI/2euicIZXXjiI0AWjuCE4IKmOM3ln4va5/9BUVFZeWPxbkbQRsW5L04Mtz9eHe7lPfrh0dL5+bV6AbHnhab83/OihdppqYslL5tq+WJyFVnrYdZFnOu0/HDeyqR684RW1ioyUFP5BUdJ/GHdFNo/qm6NpXl2lZ+i7Hy8dEunXr2H46f2QXBWxTuT4AaO4ITgianN0Fuv7RV/XBV8tlWVID5ZFKxkhrt2To2Cvu1eRxp+qqP58gj3v/J2bP++p7XXn349qdX7h3HQ1ZZPm6/bszZO/ZpYik7nJ5Y/a7RGx0pP5+3h90/h8Gy7ZtuYJwqG9/3C5LHdtE680rj9RTn2/Qw/PXyue397vMiG7t9PBfhig5LrpyHQDQUhCcEBQffr1C18z4t/KLKg57hWa7Fd2ne577jz74armevHm8eqal7DMur7BIt8yYrVc+XCiXy6r8xl6o2KU++batkqdNR3napFTbfTqib5r+eeWpSopvJUkNHpoquPdu52/HHKwT+6fq6leWauX2vH3GeT0u3TSmj8Yf2U3GEJgAtEzcqw71srugSJdNn60L7/yXdhfuqQwyoWYk/bRxm46+/B968q0Fsn9Xx4JvV+jQP1+t1z76QpJCHpp+q1Dy79qu0m2rZZcWVz4T443QPeNO0Fu3/1VJCa3kdofnr6XLZalzu1b6z1VH67oTeinC/VswGpLWRv+9/jiNP6KbXJZFaALQYtFxQp19smSlJj74onJDctjrwAIBWwFJt//rTb335TI9eNVf9MwbczX7nf+GpctUE7u0WL6tq+Rp21Ejhw/VExNOU8fE8otnukPUZapJRSC6alRPndQ/Vde/vkxjB3bUZcccLCO+MQcABCfUyYtzv9J1M1+Wy7Iqb5PSmHy/ZpOOuOAGWXb5t8UaS2gqV17Lif1T9fLfL5AxJuyB6X+5LEvdk2P1/tXHyKjimkyEJgBoXJ/WaDKWrtkkt8vVKEOTJAUCAZmAv9HWJ0mH9DlYgUCg0YWmCp69dXEhSwD4TeP8xEaTwP40CBpvrpP0242DAQDlCE4AAAAOEZwAAAAcIjgBAAA4RHACAABwiOAEAADgEMEJAADAIYITAACAQwQnAAAAhwhOAAAADhGcAAAAHCI4AQAAOERwAgAAcIjgBAAA4BDBCQAAwCFPuAsAAADBl7Nlncr8JmTbK8xOlyStXr06ZNusj8TERKWlpdV6OYITAADN0E9vzAzDVi2df/75Ydhu7UVHx2jNmtW1Dk8EJwAAmqE+Yy5SXGrnkG4zIqa1ouPbhXSbdZGfsVmLZ9+pnJwcghMAAJBS+g1XUo/B4S6j2eHkcAAAAIcITgAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAAOBQiwxO+SWBcJfQLITuerTNmBXuAgAAtdGiglNxma37Fv6qd1blypjGu9v3+/0yxsjv94e7lBp165ikQMAOdxk1crtckmWV/7eR+mVrhiI8XEoNAJqSxrtXCbIfMor0p5fW6ZXlOXr4ywzN+DJDZQFbAbtxBSjbtrVy5UqddNJJWrx4cbjL2Yc/YCtg2yoNSO4Ib7jLqZbLstQ5tb1ef/gOHX/Y4HCXsw+Xq7zNFB8bI19pWZirAQDURrP/526p39YTi7L03Pc7ZFnlh5eMkV5YmqMvNxVo2pg09W4fJcsK7zGTiu7SnXfeqenTp8vv92v+/Pm6+uqrdd9998ntdssT5u6EbdvanJGjyx/4t1Zs2CbJJXm8UqBMMuHvPrlcloxtdPmZf9CtF52maG+kTjxsoF758DPd8OAz8pWWhb1L5nK5lJLYRk/9/WodNbR/WGsBANRes+44/Zy1R2f9e72e+36HjKT/bS5tzPXpr6+s1z+/yZLfNmHrPtm2rXXr1unQQw/VP/7xj8oQZYzRI488ooEDB2r58uWy7fDs9AO2LdsY/fPthTpm4oN7Q1M5y3JJ7kjJFRGW2iq4LEsdEhP0/kOTdPdlZynaG7m3PkvnnfIHfffaozpySL+w1idJF552vJbMeYTQBABNVLMMTmUBW49/k6m/vrpBW3f79nsSc8BITy/J1l9eXq/Nu3yyQ3juk9/vl23bmjZtmoYMGaIVK1ZUO27dunUaOXKkbr31VpWVlYX03KeAbWtb9i6NvfEx3fXcB/KV7btty7JkuT3l3ScrtG+pisNeF51ylL5+eopGDuhR7biDkhP1n39O1Yyb/6Yob6Tc7tDV6Xa5lNgmXm89crsemXy5WreKDtm2AQDB1eyC07qcYv3llQ16anG2bFMejJwtV6Kz/71eTy/OViAE3adAIKBNmzbpsMMO0+23367S0tIDjr/vvvs0ZMgQ/fzzzw3efQrsXf8z73+lI6+8X9+t3nzAZX7rPoXmkKLLZSmpTZzevu8aPXDVuYqNjjpAfZb+78zR+vbVh3Vov54NX9/eLtOfTzpK373+qEYdNqTBtwkAaFjNJjj5baNnlmTrnH+v18adJXX6qrzfNnp8UZbOn7NB2/JKG6T7FAgEZNu2Hn74YQ0cOFDfffddrZZftWqVhg4dqjvvvFN+v79Buk+BgK3Mnfn64y2P67an3lWxz/kJzOXdp4i93aeGOW+sIpCce8JILXpmqo4Z0rtWy3ftmKKP/nW3pl83XpERngbpPrldLiXExerVB27RrKlXK6F1q6BvAwAQes0iOG3KLdH5czbo0a8zFahFl6kmq7KK9aeX1unFpTmyTfC6T4FAQFu3btXRRx+tG2+8USUlJXVaj9/v11133aXhw4dr/fr1Qes+VaznpY+/1RFX3Kevf/qlzusq7z55g959crtcahvXSq/efaUevf4CxdXxsJfL5dIVfzlF37w8Q4N6dg1afRVfMjjtuMO09I3HdPLRhwZt3QCA8GvSwck2Ri8t26GzXlqvtdnFQV13acBoxpcZuuj1X5RZUFav8BQIlF9w88knn1S/fv309ddfB6XG5cuXa/DgwZo+fbps267cTl34A7Zy8gp19h3/0g2Pv6nCYl+96wtm96kikJx+zFB9++zfdeKIAfWuT5J6dO6oT56dpr9POF8et7te3Se326W4VtF6/t7r9fy916ttfOug1AgAaDyabHDautuni177RQ98nqEy29S7y1STFb/u0ZkvrtWcH3ZKUq0DlN/vV2Zmpo4//nhdddVV2rNnT1DrKy0t1W233aaRI0dq06ZNtQ5PFV2mNz9bqsMum67Plq0Nan1S/btPbpdL8bHRemHKZXpq8sVqExfcw15ut1vXXXiGvnzpQfXp2qnWGa9i/OjDh+r71x/TGccfHtT6AACNR5MLTrYxmvNDjs58cZ1+ygxuCKlJsd/ovoW/6pI3f1FOkbPuU0UgeeGFF9SnTx99+umnDVrjkiVLNGDAAD3yyCOOu0/+gK1dhcU6/65nNfHhV5VfVLdDh05Udp/cXjm9z0hFIDlp5EAtfvbvOuXIwQ1WnyT17Z6mhS/cr8mXnCO3y+XoquNut0sxUVH619Sr9MoDNyupXUKD1ggACK8mFZwy80v1t7c26t5Pf5Uv0HBdppos2Vqk019cp3dW5UqS7BoClN/v144dO3TyySfrkksuUUFBQUjqKykp0fXXX69jjz1W27ZtqzE8VZz0/v7XP+iwv03TvMWrQlKfJFmuvRfNPED3ye1yKTY6Sk9NvlgvTPmbEhNCc9grwuPRzZf8WZ8+d5+6p6Ue8MKoxwwboO9ff1R/OfnYsF9EFQDQ8JpUcPrrqxu0dFtRWGsoKrV11yfbdcXbG5Vb7K/SfaroMs2ZM0e9e/fWRx99FJYav/zyS/Xr10+zZs2SpCoByh8IqKCoRBdPe0GX3veSdhWEpmv3e791nyJrPPfpuKF99O2zf9efjjs0LIFkcO9u+uqlh3TdhWfI+p973rndLkV7I/XorVfo7UfuUIekdiGvDwAQHk0qOBX77ZB3mWry9ZZC/fGFdZq7Zpek8tC0a9cunXHGGbrgggu0e/fusNZXVFSkiRMnatSoUcrKyqoMdfO/W63DLpum9776Iaz1SZLlcu8998ld/rslxURF6tHrL9Ccf0xQSrv4sNbnjYzQ1CvP0yfP3Ku0DkmVAe6wgb21eM4jGvfHUXSZAKCFafb3qmtIBb6Abvt4m976z/s6pFW+7r77LuXk5IS7rCoWLFigPn366B9Pv6FVW7L15sJl4S6pCsuyJHekDh/YRT0OStSkv5ykjkltw11WFcP699Sil2doxgtvK6V9W40//QS5HJz/BABofghOQfDf71brhXcfaBQ3uq1Ofn6+pj71llzexnsRxvZt4vXQ1X8Ndxk1io7y6rbLzg13GQCAMOOfzQAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAAOAQwQkAAMAhghMAAIBDdQpOjz/+uLp06aKoqCiNGDFCS5Ys2e/4N954Q71791ZUVJQGDBiguXPn1qlYAACAcKp1cHrttdc0adIkTZ06VcuWLdOgQYM0evRoZWdnVzv+m2++0bnnnqv/+7//0/Lly3X66afr9NNP18qVK+tdPAAAQCjVOjjNmDFDl156qcaPH6++fftq1qxZiomJ0ezZs6sd/8gjj+ikk07SjTfeqD59+ujuu+/WIYccon/+85/1Lh4AACCUahWcSktLtXTpUo0aNeq3FbhcGjVqlBYtWlTtMosWLaoyXpJGjx5d43gAAIDGqlb3qsvJyVEgEFBycnKVx5OTk7VmzZpql8nMzKx2fGZmZo3b8fl88vl8lb/n5+fXpkwAAFqMmvaZ+Znp8nijw1VWo5afsbnOyzbKm/xOmzZNd955Z7jLAACg0atpn7n039PDUE3TER0do8TExFovV6vglJiYKLfbraysrCqPZ2VlKSUlpdplUlJSajVekiZPnqxJkyZV/p6fn69OnTrVplQAAFqEmvaZn3/+uWJjY8NYWeOWmJiotLS0Wi9Xq+AUGRmpoUOHasGCBTr99NMlSbZta8GCBZo4cWK1y4wcOVILFizQtddeW/nY/PnzNXLkyBq34/V65fV6a1MaAAAtUk37zMGDBysuLi4MFTVvtT5UN2nSJI0bN07Dhg3T8OHDNXPmTBUVFWn8+PGSpAsvvFAdO3bUtGnTJEnXXHONjjnmGD300EMaO3as5syZo++//15PPfVUcF8JAABAA6t1cDrnnHO0Y8cOTZkyRZmZmRo8eLDmzZtXeQJ4enq6XK7fvqx3+OGH65VXXtHtt9+uW2+9VT169NC7776r/v37B+9VAAAAhECdTg6fOHFijYfmFi5cuM9jZ599ts4+++y6bAoAAKDR4F51AAAADhGcAAAAHCI4AQAAOERwAgAAcIjgBAAA4BDBCQAAwCGCEwAAgEMEpyCIbN1WMna4y9gvu6RIlhXuKmqWm79HkmSMCXMlAADUjOAUBIef+Efddf9MRUVFyeOp0zVFG4zH45HH49GEE/royIEHh7ucalmWlL07X1uzcmU15nQHAGjxGtde/gCuPCxZz/xYJBkpEObGhNsq3+FffUSqLjgkUW5XL517xlhdeOGFWrRoUXiL28uyLPXp00cvv/yyBgwYIGOMXpi3SLc/9a7K/LYCdni7ZG6XS8YYXfvn43XDuScqMqJJvR0BAC2QZZrAsZH8/HzFx8crLy9P2aWRmjwvXet2lCichfduH6VpY9LUvV1UlccDgYAeeeQR3XLLLTLGyO/3h7w2t9stSbr99tt12223KSIiosrzWzJ36sqHXtHinzeFvLYKlmWpa2o7zbrxfB3SMy1sdQBAc/P7fWZcXFy4y2l2mlxwiouLU1nA6NnvsjXr2yxZCl33yb33KNIVI5N18aFJ8rhqPqy0evVqnX/++Vq+fHlIz9uxLEs9e/bUK6+8okMOOaTGcbZt65kPvtLfZ3+ggG0rEAhN98nlsmRsoyvPPFaTLxijqMiIAy8EAHCM4NSwmuQ5ThFuS5cflqxX/9pDaW28CsVZMZakLm28mnNeD/1tRPJ+Q5Mk9enTR4sXL9Y//vEPeTyeyi5QQ3G73bIsSzfffLN++OGH/YYmSXK5XPrbaUfri8dv0KDuBzVobZXbtCx1TEzQ+/dP1J3/dxqhCQDQ5DSJjlNeXp4SEhK0devWfdJzqd/Ws99l66VlObIsyQ7yq3FbkpF04dD2unhYe0W4a581V65cqUsuuUSrV68ObnF7WZalzp0765lnntGhhx5a6+UDAVtPf/ClHnzlvzJGQT/3yeWyZNtG404aqZvOH61WUd6grh8AmqvWrVvX+kszdJwaVpMITtu2bVOnTp3CXQYAACFVl/BDcGpYTSI42batX3/9tU7Juzr5+fnq1KlTtR0sOMMc1h9zWH/MYXAwj/XXUHNYl/2eMUYFBQVB22eiqibx/W+Xy6WDDgr+eThxcXF8SNQTc1h/zGH9MYfBwTzWX2OYQ8uywl5Dc9YkTw4HAAAIB4ITAACAQy0yOHm9Xk2dOlVeL9/uqivmsP6Yw/pjDoODeaw/5rDlaBInhwMAADQGLbLjBAAAUBcEJwAAAIcITgAAAA4RnAAAABxqccHp8ccfV5cuXRQVFaURI0ZoyZIl4S6p0Zg2bZoOPfRQtW7dWklJSTr99NO1du3aKmNKSko0YcIEtWvXTrGxsfrTn/6krKysKmPS09M1duxYxcTEKCkpSTfeeKP8fn8oX0qjMX36dFmWpWuvvbbyMebwwLZv367zzz9f7dq1U3R0tAYMGKDvv/++8nljjKZMmaLU1FRFR0dr1KhRWr9+fZV15Obm6rzzzlNcXJwSEhL0f//3fyosLAz1SwmLQCCgO+64Q127dlV0dLS6d++uu+++W7//LhBzuK8vvvhCp556qjp06CDLsvTuu+9WeT5Yc/bjjz/qqKOOUlRUlDp16qT777+/oV8agsm0IHPmzDGRkZFm9uzZZtWqVebSSy81CQkJJisrK9ylNQqjR482zz33nFm5cqVZsWKFOfnkk01aWpopLCysHHP55ZebTp06mQULFpjvv//eHHbYYebwww+vfN7v95v+/fubUaNGmeXLl5u5c+eaxMREM3ny5HC8pLBasmSJ6dKlixk4cKC55pprKh9nDvcvNzfXdO7c2Vx00UVm8eLFZuPGjebjjz82GzZsqBwzffp0Ex8fb959913zww8/mNNOO8107drVFBcXV4456aSTzKBBg8y3335rvvzyS3PwwQebc889NxwvKeTuuece065dO/PBBx+YTZs2mTfeeMPExsaaRx55pHIMc7ivuXPnmttuu828/fbbRpJ55513qjwfjDnLy8szycnJ5rzzzjMrV640r776qomOjjb/+te/QvUyUU8tKjgNHz7cTJgwofL3QCBgOnToYKZNmxbGqhqv7OxsI8l8/vnnxhhjdu/ebSIiIswbb7xROWb16tVGklm0aJExpvyDx+VymczMzMoxTz75pImLizM+ny+0LyCMCgoKTI8ePcz8+fPNMcccUxmcmMMDu/nmm82RRx5Z4/O2bZuUlBTzwAMPVD62e/du4/V6zauvvmqMMebnn382ksx3331XOeajjz4ylmWZ7du3N1zxjcTYsWPNxRdfXOWxM88805x33nnGGObQif8NTsGasyeeeMK0adOmyt/lm2++2fTq1auBXxGCpcUcqistLdXSpUs1atSoysdcLpdGjRqlRYsWhbGyxisvL0+S1LZtW0nS0qVLVVZWVmUOe/furbS0tMo5XLRokQYMGKDk5OTKMaNHj1Z+fr5WrVoVwurDa8KECRo7dmyVuZKYQyfee+89DRs2TGeffbaSkpI0ZMgQPf3005XPb9q0SZmZmVXmMD4+XiNGjKgyhwkJCRo2bFjlmFGjRsnlcmnx4sWhezFhcvjhh2vBggVat26dJOmHH37QV199pTFjxkhiDusiWHO2aNEiHX300YqMjKwcM3r0aK1du1a7du0K0atBfTSJm/wGQ05OjgKBQJWdkSQlJydrzZo1Yaqq8bJtW9dee62OOOII9e/fX5KUmZmpyMhIJSQkVBmbnJyszMzMyjHVzXHFcy3BnDlztGzZMn333Xf7PMccHtjGjRv15JNPatKkSbr11lv13Xff6eqrr1ZkZKTGjRtXOQfVzdHv5zApKanK8x6PR23btm0Rc3jLLbcoPz9fvXv3ltvtViAQ0D333KPzzjtPkpjDOgjWnGVmZqpr1677rKPiuTZt2jRI/QieFhOcUDsTJkzQypUr9dVXX4W7lCZl69atuuaaazR//nxFRUWFu5wmybZtDRs2TPfee68kaciQIVq5cqVmzZqlcePGhbm6puH111/Xyy+/rFdeeUX9+vXTihUrdO2116pDhw7MIVBPLeZQXWJiotxu9z7fXsrKylJKSkqYqmqcJk6cqA8++ECfffaZDjrooMrHU1JSVFpaqt27d1cZ//s5TElJqXaOK55r7pYuXars7Gwdcsgh8ng88ng8+vzzz/Xoo4/K4/EoOTmZOTyA1NRU9e3bt8pjffr0UXp6uqTf5mB/f5dTUlKUnZ1d5Xm/36/c3NwWMYc33nijbrnlFv3lL3/RgAEDdMEFF+i6667TtGnTJDGHdRGsOWvpf7+bgxYTnCIjIzV06FAtWLCg8jHbtrVgwQKNHDkyjJU1HsYYTZw4Ue+8844+/fTTfdrJQ4cOVURERJU5XLt2rdLT0yvncOTIkfrpp5+qfHjMnz9fcXFx++wMm6Pjjz9eP/30k1asWFH5M2zYMJ133nmV/5853L8jjjhin8tgrFu3Tp07d5Ykde3aVSkpKVXmMD8/X4sXL64yh7t379bSpUsrx3z66aeybVsjRowIwasIrz179sjlqvrx7na7Zdu2JOawLoI1ZyNHjtQXX3yhsrKyyjHz589Xr169OEzXVIT77PRQmjNnjvF6veb55583P//8s/nb3/5mEhISqnx7qSW74oorTHx8vFm4cKHJyMio/NmzZ0/lmMsvv9ykpaWZTz/91Hz//fdm5MiRZuTIkZXPV3yV/sQTTzQrVqww8+bNM+3bt28xX6Wvzu+/VWcMc3ggS5YsMR6Px9xzzz1m/fr15uWXXzYxMTHm3//+d+WY6dOnm4SEBPOf//zH/Pjjj+aPf/xjtV8LHzJkiFm8eLH56quvTI8ePZr1V+l/b9y4caZjx46VlyN4++23TWJiornpppsqxzCH+yooKDDLly83y5cvN5LMjBkzzPLly82WLVuMMcGZs927d5vk5GRzwQUXmJUrV5o5c+aYmJgYLkfQhLSo4GSMMY899phJS0szkZGRZvjw4ebbb78Nd0mNhqRqf5577rnKMcXFxebKK680bdq0MTExMeaMM84wGRkZVdazefNmM2bMGBMdHW0SExPN9ddfb8rKykL8ahqP/w1OzOGBvf/++6Z///7G6/Wa3r17m6eeeqrK87ZtmzvuuMMkJycbr9drjj/+eLN27doqY3bu3GnOPfdcExsba+Li4sz48eNNQUFBKF9G2OTn55trrrnGpKWlmaioKNOtWzdz2223VfkKPHO4r88++6zaz8Bx48YZY4I3Zz/88IM58sgjjdfrNR07djTTp08P1UtEEFjG/O5SsgAAAKhRiznHCQAAoL4ITgAAAA4RnAAAABwiOAEAADhEcAIAAHCI4AQAAOAQwQkAAMAhghMAAIBDBCcAAACHCE4AAAAOEZwAAAAcIjgBAAA49P+gcSSq1YMaJwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=x,y=y, kind=\"hex\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 箱线图\n",
    "sns.boxplot(x=[1,1,2,2,2,2,1,2,2.10,22,12,2,1,10,10,12,14,15,100])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.12093332, -0.36063654,  1.46874883,  0.88361574,  2.35237844,\n",
       "         0.75440772,  1.52147346,  1.05824656, -0.60388535, -0.74355591,\n",
       "        -1.21647903,  0.99772335,  1.47606294, -0.63238042, -1.11200767,\n",
       "         0.51450936,  0.32991351,  1.30289633,  0.71281353, -0.43562297,\n",
       "        -0.76977639, -0.30380706, -0.22530973, -0.53954027,  0.65077769,\n",
       "        -0.25274152,  0.53993692, -0.5759714 ,  1.18742553,  0.11565137,\n",
       "         0.48789728,  0.1198996 , -0.73712162,  0.62135754,  1.33330204,\n",
       "        -0.83740352,  0.88729521,  0.07640696,  0.14313679, -0.83447215,\n",
       "         1.64972285,  1.2103846 , -0.19920055,  0.8741456 , -0.12365439,\n",
       "         0.38038139,  0.50175515, -0.78226223,  0.92848792,  1.95853515,\n",
       "        -1.45301512,  0.53266125, -0.63906158, -0.95325317,  1.07826028,\n",
       "         0.14260731, -0.49920545,  0.48169102,  0.65332589, -0.48994854,\n",
       "         0.27733547, -1.76606018, -0.41850891, -0.05128142,  0.95810737,\n",
       "         0.02055311, -0.41539784,  1.84155888,  1.47272846, -0.87312923,\n",
       "        -0.2015269 ,  0.17938126,  2.31281832,  0.78101393, -1.5753553 ,\n",
       "        -2.15239672, -2.09239443, -0.2245207 , -1.39771041,  0.32041824,\n",
       "         0.51038831, -0.94776801, -1.30944939,  0.50656363, -0.51393019,\n",
       "        -0.16834576, -0.83710936, -0.48455607,  0.33017849, -0.37542188,\n",
       "        -0.6603348 ,  0.1450027 , -1.53707695, -0.20981094, -1.91215521,\n",
       "        -1.00742076,  0.03258978,  0.2508286 , -0.48795653, -0.5386018 ]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.random.normal(size=(1,100))\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\soft\\python3.7\\lib\\site-packages\\ipykernel_launcher.py:1: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Density'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>clazz</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1500100001</td>\n",
       "      <td>施笑槐</td>\n",
       "      <td>22</td>\n",
       "      <td>女</td>\n",
       "      <td>文科六班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1500100002</td>\n",
       "      <td>吕金鹏</td>\n",
       "      <td>24</td>\n",
       "      <td>男</td>\n",
       "      <td>文科六班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1500100003</td>\n",
       "      <td>单乐蕊</td>\n",
       "      <td>22</td>\n",
       "      <td>女</td>\n",
       "      <td>理科六班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1500100004</td>\n",
       "      <td>葛德曜</td>\n",
       "      <td>24</td>\n",
       "      <td>男</td>\n",
       "      <td>理科三班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1500100005</td>\n",
       "      <td>宣谷芹</td>\n",
       "      <td>22</td>\n",
       "      <td>女</td>\n",
       "      <td>理科五班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>1500100996</td>\n",
       "      <td>厉运凡</td>\n",
       "      <td>24</td>\n",
       "      <td>男</td>\n",
       "      <td>文科三班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>1500100997</td>\n",
       "      <td>陶敬曦</td>\n",
       "      <td>21</td>\n",
       "      <td>男</td>\n",
       "      <td>理科六班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>1500100998</td>\n",
       "      <td>容昆宇</td>\n",
       "      <td>22</td>\n",
       "      <td>男</td>\n",
       "      <td>理科四班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>1500100999</td>\n",
       "      <td>钟绮晴</td>\n",
       "      <td>23</td>\n",
       "      <td>女</td>\n",
       "      <td>文科五班</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>1500101000</td>\n",
       "      <td>符瑞渊</td>\n",
       "      <td>23</td>\n",
       "      <td>男</td>\n",
       "      <td>理科六班</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id name  age sex clazz\n",
       "0    1500100001  施笑槐   22   女  文科六班\n",
       "1    1500100002  吕金鹏   24   男  文科六班\n",
       "2    1500100003  单乐蕊   22   女  理科六班\n",
       "3    1500100004  葛德曜   24   男  理科三班\n",
       "4    1500100005  宣谷芹   22   女  理科五班\n",
       "..          ...  ...  ...  ..   ...\n",
       "995  1500100996  厉运凡   24   男  文科三班\n",
       "996  1500100997  陶敬曦   21   男  理科六班\n",
       "997  1500100998  容昆宇   22   男  理科四班\n",
       "998  1500100999  钟绮晴   23   女  文科五班\n",
       "999  1500101000  符瑞渊   23   男  理科六班\n",
       "\n",
       "[1000 rows x 5 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "# 读取文件构建DataFrame\n",
    "students = pd.read_csv(\"../data/students.txt\",\n",
    "                       sep=\",\",\n",
    "                       names=[\"id\",\"name\",\"age\",\"sex\",\"clazz\"],\n",
    "                       encoding=\"UTF-8\")\n",
    "students"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pylab import mpl\n",
    "\n",
    "# 设置文件现在字体\n",
    "mpl.rcParams[\"font.sans-serif\"] = [\"SimHei\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='clazz', ylabel='count'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=students,x=\"clazz\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='clazz', ylabel='count'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=students,x=\"clazz\",hue=\"sex\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='clazz'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=students,y=\"clazz\",hue=\"sex\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "      <th>k</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.841471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>-2</td>\n",
       "      <td>0.909297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.141120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>32</td>\n",
       "      <td>-4</td>\n",
       "      <td>-0.756802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>95</td>\n",
       "      <td>18050</td>\n",
       "      <td>-95</td>\n",
       "      <td>0.683262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>96</td>\n",
       "      <td>18432</td>\n",
       "      <td>-96</td>\n",
       "      <td>0.983588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>97</td>\n",
       "      <td>18818</td>\n",
       "      <td>-97</td>\n",
       "      <td>0.379608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>98</td>\n",
       "      <td>19208</td>\n",
       "      <td>-98</td>\n",
       "      <td>-0.573382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>99</td>\n",
       "      <td>19602</td>\n",
       "      <td>-99</td>\n",
       "      <td>-0.999207</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     x      y   z         k\n",
       "0    0      0   0  0.000000\n",
       "1    1      2  -1  0.841471\n",
       "2    2      8  -2  0.909297\n",
       "3    3     18  -3  0.141120\n",
       "4    4     32  -4 -0.756802\n",
       "..  ..    ...  ..       ...\n",
       "95  95  18050 -95  0.683262\n",
       "96  96  18432 -96  0.983588\n",
       "97  97  18818 -97  0.379608\n",
       "98  98  19208 -98 -0.573382\n",
       "99  99  19602 -99 -0.999207\n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.array(range(100))\n",
    "y = 2 * x ** 2\n",
    "z = -x\n",
    "k = np.sin(x)\n",
    "data = pd.DataFrame(\n",
    "    data={\n",
    "        \"x\":x,\n",
    "        \"y\":y,\n",
    "        \"z\":z,\n",
    "        \"k\":k\n",
    "    }\n",
    ")\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\soft\\python3.7\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x211b3e90c48>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\soft\\python3.7\\lib\\site-packages\\IPython\\core\\events.py:89: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\IPython\\core\\pylabtools.py:151: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\soft\\python3.7\\lib\\site-packages\\ipykernel_launcher.py:2: RuntimeWarning: divide by zero encountered in log\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x211b66dbbc8>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sKW0xZSIAwRRGhryGDr86Gn4i7OEDVMYTW66tdglFa2lpjVwuV+0yJiUAwSSOHvK64aLVY67p8QEqoev9F0fb0tMq9nwH8y/E9q2b47bbbouurq4Z/Ru5XC46OjpKXFlpCUAwzvEmOevxAarh5LecHSd1rqzY872895nYvnVzdHV1xerVq6f+hTolAMFRJpvkrMcHID3sAwS/NtUkZ3v4AKSHHiAyb7qTnI/u8fmjty+P9pbGWNzapMcHoA7pASLTjt7Jec9LA2OujQx5HW2g8Gr8r/uejf/9/++JzpMW6PEBqFN6gMic2UxyjohY15mLqzd0Cz4AdUwAIlNMcgYgwhAYGWKSMwAj9ACReiY5AzCeHiBSzSRnACaiB4jUMckZgKkIQKSKSc4ATIchMFLDJGcApksPEHVtZLird3A4WprmmuQMwLQIQNSto4e7IiJuuGjsqcXjh7wiXp/kvK4zF9dtXCX4AGSUITDq0vjhroiJJzmPH/KKMMkZAD1A1Jnj7ekTYZIzANOnB4i6MdmePhEmOQMwfXqAqAvjh7zGD3dFjO3x+dx5K2Jw+NVYOE+PDwDH0gNETesZKMSuF/vjFwcOjRnymmgX54jXe3yWts+LlR16fACYmABEzZpsyMsEZwBmwxAYNWmqIS97+gAwG3qAqCnFDHk5uBSAmRKAqBmGvACoFENg1ARDXgBUkh4gqsqQFwDVIABRNYa8AKgWQ2BUhSEvAKpJDxAVZcgLgFogAFExhrwAqBWGwKgIQ14A1BI9QFREvr9gyAuAmiEAUVYjc35eOlgYc78hLwCqyRAYZfP8gUOjw17/9NG3jblmyAuAatIDRFmMn/NjyAuAWqIHiJLqGShEvr8QQ4dfHTPn5+aHd8fXN66KiIgfPPvS6P2GvACoBgGIkjl6yOuGi1aPuTZ+yGvhvMY4cb4hLwCqQwCiJKZa5h7x+pBXRMS9n3xnnHnSgorWCAAjzAGiJKazzH3Eus5c5Bbo9QGgevQAMSsjc34mWuZuzg/A7OWf+2kMH05m9W80NDREY/P0/t/tfWHPrJ6rXghAzJhl7gDl98SWayv+nC0trZHL5Sr+vJUkADEjx1vmfnRvz8icn3Wdubhu4yrBB2AGut5/cbQtPW3Gv38w/0Js37o5brvttujq6prW7+Ryuejo6Jjxc9YDAYgZGT/nx5AXQHmc/Jaz46TOlTP+/Zf3PhPbt26Orq6uWL169dS/kBECENM2Mt+nd3A4Dh8ZOx5tmTsA9UQAYlqOnu8TEcfM+YmwzB2A+mEZPFMaP98nwjJ3AOqbAMSUxs/3iXCaOwD1zRAYx3W8PX4ixs75+esPdEXh8JFYOK/RnB8A6oIeICb0/IFDcdk3Hov3XvNA9A0OT/iYkTk/zQ1zY2XHYqe5A1A3BCCOcbw9fiZivg8A9UgA4hgT7fFjvg8AaWIOEKOON+fHHj8ApI0eICJi6jk/I/N9/t///eM4cX6T+T4A1LUZBaADBw7ED3/4w3jllVdKXQ9VYM4PAFlTdADasmVLnH766XHppZfGqaeeGlu2bClHXVSQOT8AZE1Rc4B6enri4x//eDz44IPR3d0dt956a3zmM5+JD3/4w+WqjzIy5weArCqqB6i3tzeuvfba6O7ujoiI1atXx0svvTTFb1GLzPkBIMuKCkDLli2Liy66KCIihoeH46tf/WpccMEFZSmM8jHnB4Csm9Ey+Mcffzze8573RFNTU+zYsWPCxwwNDcXQ0NDo7d7e3plVSMlNNOfn6xtXRUTED559vUfPnB+AyvG9WVkzWgXW3d0d3/ve96KzszMuvfTSCR9z1VVXRXt7++jPsmXLZlUopdM7bshrZM7Pqo7F8U8ffVt882P/Ne795Dvjuo2rYumilipVCZAtvjcra06SJMlMf3n37t1x5plnxssvvxyLFi0ac22iJLts2bLo6emJtra2GRfMzI1Meh46/Gp84OsPH/dx937ynXHmSQsqWBkAx/vefPenb4iTOlfO+N99ee8zcc//vCQeffTRWL16dQkqTYeihsAeeOCB+Ld/+7f48pe/HBERTU1NMWfOnDjhhGM7kpqbm6O5ubk0VTJrzx84NDrv57L3vDHe/sYTxwx3jTDnB6A6fG9WVlFDYGeddVZs3rw5Nm/eHPv27Yu/+qu/it/93d/Vo1Pjxk96ts8PAFlXVA/Q0qVL41vf+lb85V/+ZXz605+O3/u934t//ud/LldtlMj4Sc/j9/lpb2mMxa32+QEgO4peBfa+970vnnzyyXLUQpmMn/Qc8fo+PxERd338t8z5ASBTnAafYiOTnpsbJh/pXDivsUIVAUBtcBp8Sh290/P/t/2XNjoEgKMIQClk0jMATM4QWAqZ9AwAkxOAUsikZwCYnACUIiY9A8D0mAOUEiY9A8D0CUApYNIzABTHEFgKmPQMAMURgFLApGcAKI4AVMdMegaAmTEHqE6Z9AwAMycA1SGTngFgdgyB1SGTngFgdgSgOmTSMwDMjgBUh9qmmNRs0jNAeuSf+2kMH06m9diGhoZobB7b89/7wp4yVFX/BKA6MrLq69Ukid/uzI0ZBhth0jNAujyx5dpZ/xstLa2Ry+VmX0yKCEB14vkDh0YnPrc2zY2vb1wVSZLEw8++NPoYk54B0qfr/RdH29LTpnzcwfwLsX3r5rjtttuiq6trzLVcLhcdHR3lKrEuCUB1YPyqr6MnPX/8XW+MeY1zo72l0aRngBQ6+S1nx0mdK6d83Mt7n4ntWzdHV1dXrF69uvyF1TnL4OvA+FVfEa9Pev7IP/4w2lsa48yTFgg/ADBNAlAdmGjV19H6prgOAIwlANUBq74AoLQEoBrWM1CIXS/2j676mohVXwBQPJOga5RVXwBQPgJQDbLqCwDKyxBYDbLqCwDKSwCqQVZ9AUB5CUA1yKovACgvAagG5RY0xTqrvgCgbASgGjGy5P2xva/ESwcL8aUL/ssxIciqLwAoDavAasDRS95HvK/rpLjq//kvMTh8JPoGh2PhPKu+AKBUBKAqG7/kfcQ9O16MocNH4rqNq+LMkxZUqToASCdDYFU20ZL3EQ/uzEe+v1DhigAg/QSgKrPkHQAqTwCqMkveAaDyBKAqs+QdACpPAKqSkWXve146GF/40P9lyTsAVJBVYFUwftl7a9Pc+Nz6FfHX53XFocKrlrwDQJkJQBU20bL3gcKrccW/PhHrOnNx3cZVgg8AlJkhsAqz7B0Aqk8AqjDL3gGg+gSgCrPsHQCqTwCqMMveAaD6BKAKa29tik0bui17B4AqsgqsQnoGCpHvL0Tv4HC0tzTGlz/8f0f/4GEnvQNAFQhAFTB+35+I13p8Nm3odtI7AFSBIbAym2jfn4jXlrx/9s5t0TNg2TsAVJoAVGb2/QGA2iMAlZl9fwCg9ghAZWbfHwCoPQJQmdn3BwBqjwBUZvb9AYDaYxl8BZyyqCWu27gq8v0F+/4AQA0QgMrk6I0P21oaIze/yZ4/AFAjBKAymGzjw1MWtVSxMgAgwhygkrPxIQDUPj1AJTadjQ/N/QFguvLP/TSGDydj7mtoaIjG5rHfJb0v7KlgVfVPACoxGx8CUEpPbLl22o9taWmNXG7irVcYSwAqMRsfAlBKXe+/ONqWnjZ6+2D+hdi+dXPcdttt0dXVNeaxuVwuOjo6Kl1iXRKASmxk48MHJxgGs/EhAMU6+S1nx0mdK0dvv7z3mdi+dXN0dXXF6tWrq1dYnTMJusRsfAgAtU8PUBnY+BAAapsAVCI2PgSA+iEAlYCNDwGgvpgDNEs2PgSA+iMAzdJ0Nj4EAGqLADRLNj4EgPojAM2SjQ8BoP4IQLM0svHhRGx8CAC1SQCaJRsfAkD9sQy+BGx8CAD1RQAqkfZWgQcA6oUhMAAgc/QAzdBER1/oAQKA+iAAzYCjLwCgvhkCK5KjLwCg/glARXL0BQDUPwGoSI6+AID6JwAVydEXAFD/igpAd999d5xxxhnR0NAQK1eujB07dpSrrprl6AsAqH/TDkC7du2KSy65JDZt2hS/+MUv4qyzzopLL720nLXVJEdfAED9m/Yy+B07dsSmTZviD/7gDyIi4s/+7M/ivPPOK1thtczRFwBQ36YdgNavXz/m9jPPPBOdnZ0lL6heOPoCAOrXjDZCLBQK8ZWvfCU++clPHvcxQ0NDMTQ0NHq7t7d3Jk8FAJnge7OyZrQK7Morr4z58+dPOgfoqquuivb29tGfZcuWzbhIAEg735uVVXQAuu++++L666+PO+64Ixobj7/k+4orroienp7Rn3379s2q0GrrGSjErhf747G9r8Su/f12fAagpNL2vVnrihoC2717d2zcuDGuv/76WLFixaSPbW5ujubm5lkVVyuc/QVAuaXpe7MeTLsH6NChQ7F+/fr40Ic+FBdccEH09/dHf39/JElSzvqqztlfAJA+0w5A3/ve9+Kpp56Km266KRYuXDj689xzz5Wzvqpz9hcApM+0h8A+9KEPpb63ZyLO/gKA9HEW2BSc/QUA6SMATcHZXwCQPgLQFJz9BQDpM6OdoLPG2V8AkC4C0DQ5+wsA0sMQGACQOQIQAJA5hsAAoIbln/tpDB9+fR++/hf3VrGa9BCAAKCGPbHl2mPvnDMnhoaGKl5LmghAx9EzUIh8fyF6B4ejraUxcvNNggag8rref3G0LT1t9PbB/AuxfetmB6fOkgA0Aae/A1ArTn7L2XFS58rR2y/vfSa2b91cvYJSwiTocZz+DgDpJwCN4/R3AEg/AWgcp78DQPoJQOM4/R0A0k8AGsfp7wCQfgLQOE5/B4D0swx+Ak5/B4B0E4COw+nvAJBehsAAgMwRgACAzBGAAIDMEYAAgMwRgACAzBGAAIDMsQz+13oGCpHvL0Tv4HC0tTRGbr5l8ACQVgJQRDx/4FBcfue2MafAr+vMxaYN3XHKopYqVgYAlEPmh8B6BgrHhJ+IiAd35uOzd26LnoFClSoDAMol8wEo3184JvyMeHBnPvL9AhAApE3mA1Dv4PCk1/umuA4A1J/MB6C2eY2TXl84xXUAoP5kPgDlFjTFus7chNfWdeYit8BKMABIm8wHoPbWpti0ofuYELSuMxdXb+i2FB4AUsgy+Ig4ZVFLXLdxVeT7C9E3OBwL5zVGboF9gAAgrQSgX2tvFXgAICsyPwQGAGSPAAQAZI4ABABkjgAEAGSOAAQAZI4ABABkjgAEAGSOAAQAZI4ABABkjgAEAGROJo/C6BkoRL6/EL2Dw9HW0hi5+Y7BAIAsyVwAev7Aobj8zm3x0M786H3rOnOxaUN3nLKopYqVAQCVkqkhsJ6BwjHhJyLiwZ35+Oyd26JnoFClygCASspUAMr3F44JPyMe3JmPfL8ABABZkKkhsN7B4Umv901xHQAqLf/cTyOJudHY/Npc1d4X9lS3oJTIVABqm9c46fWFU1wHgEp7Ysu1x9zX0tIauVyu8sWkSKaGwHILmmJd58RvmHWducgtsBIMgNpy2jnnRkTEbbfdFo8++mg8+uij8fTTO6Kjo6PKldW3TAWg9tam2LSh+5gQtK4zF1dv6LYUHoCas+T0roiI6OrqitWrV8fq1auFnxLI1BBYRMQpi1riuo2rIt9fiL7B4Vg4rzFyC+wDBABZkrkAFPFaT5DAAwDZlakhMACACAEIAMggAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADInIZqF1AJPQOFyPcXondwONpaGiM3vynaW5uqXRYAUCWpD0DPHzgUl9+5LR7amR+9b11nLjZt6I5TFrVUsTIAoFpSPQTWM1A4JvxERDy4Mx+fvXNb9AwUqlQZAFBNqQ5A+f7CMeFnxIM785HvF4AAIItSHYB6B4cnvd43xXUAIJ1SHYDa5jVOen3hFNcBgHRKdQDKLWiKdZ25Ca+t68xFboGVYACQRakOQO2tTbFpQ/cxIWhdZy6u3tBtKTwAZFTRy+Dz+XysWbMm7r///jj99NPLUFJpnbKoJa7buCry/YXoGxyOhfMaI7fAPkAAkGVFBaB8Ph/r16+PPXv2lKmc8mhvFXgAgNcVNQR24YUXxkc+8pFy1QIAUBFFBaCbbropPvGJT5SrFgCAiihqCGz58uXTfuzQ0FAMDQ2N3u7t7S3mqQAgU3xvVlbZVoFdddVV0d7ePvqzbNmycj0VANQ935uVVbYAdMUVV0RPT8/oz759+8r1VABQ93xvVlbZToNvbm6O5ubmcv3zAJAqvjcrK9UbIQIATEQAAgAyZ0ZDYEmSlLoOAICK0QMEADWs51c/r3YJqSQAAUAN+9n3t0TMmTNmjyBmTwACgBp22jnnRiSJFWIlJgABQA1bcnpXtUtIJQEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMichmoXUA49A4XI9xeid3A42loaIze/Kdpbm6pdFgBQI1IXgJ4/cCguv3NbPLQzP3rfus5cbNrQHacsaqliZQBArUjVEFjPQOGY8BMR8eDOfHz2zm3RM1CoUmUAQC1JVQDK9xeOCT8jHtyZj3y/AAQApCwA9Q4OT3q9b4rrAEA2pCoAtc1rnPT6wimuAwDZkKoAlFvQFOs6cxNeW9eZi9wCK8EAgJQFoPbWpti0ofuYELSuMxdXb+i2FB4AiIgULoM/ZVFLXLdxVeT7C9E3OBwL5zVGboF9gACA16UuAEW81hMk8AAAx5OqITAAgOkQgACAzBGAAIDMEYAAgMwRgACAzBGAAIDMEYAAgMwRgACAzBGAAIDMEYAAgMwRgACAzBGAAIDMEYAAgMwRgACAzBGAAKCG9fzq59UuIZUEIACoYT/7/paIOXNiaGio2qWkigAEADXstHPOjUiSaG5urnYpqSIAAUANW3J6V7VLSCUBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADIHAEIAMgcAQgAyBwBCADInKID0Pbt22PNmjWxePHi+MxnPhNJkpSjLgCAsikqAA0NDcX5558fb33rW+PHP/5xPPXUU3HrrbeWqbTp6xkoxK4X++Oxva/Erv390TNQqHZJAEANayjmwf/+7/8ePT09cc0110Rra2t86Utfij//8z+PSy65pFz1Ten5A4fi8ju3xUM786P3revMxaYN3XHKopaq1QUA1K6ieoAef/zxWLt2bbS2tkZERHd3dzz11FNlKWw6egYKx4SfiIgHd+bjs3du0xMEAEyoqB6g3t7eWL58+ejtOXPmxNy5c+OVV16JxYsXj3ns0NBQDA0NjfndUsv3F44JPyMe3JmPfH8h2lubSv68AFBqx/veHHj5V9UqKdWK6gFqaGiI5ubmMffNmzcvBgYGjnnsVVddFe3t7aM/y5Ytm12lE+gdHJ70et8U1wGgVhzve/OZe+6IlpbWyOVyVa4wXYoKQEuWLIn9+/ePua+vry+amo7tZbniiiuip6dn9Gffvn2zq3QCbfMaJ72+cIrrAFArjve9+cADD8TTT++Ijo6OKleYLkUNga1ZsyZuuumm0du7d++OoaGhWLJkyTGPbW5uPqa3qNRyC5piXWcuHpxgGGxdZy5yCwx/AVAfjve9uXLlymhra6tCRelWVA/QunXrore3N2655ZaIiPjSl74Uv/M7vxNz584tS3FTaW9tik0bumNd59huwXWdubh6Q7f5PwDAhOYkRe5kuHXr1ti4cWO0tLTECSecEN///vdjxYoVU/5eb29vtLe3R09PT8mTbM9AIfL9hegbHI6F8xojt6BJ+AGgrpXze5Mih8AiIj74wQ/Grl274tFHH421a9fGiSeeWI66itLeKvAAANNXdACKiDj55JPjvPPOK3UtAAAV4TBUACBzBCAAIHMEIAAgcwQgACBzBCAAIHMEIAAgcwQgACBzBCAAIHMEIAAgcwQgACBzBCAAIHMEIAAgc2Z0GOpMJEkSERG9vb2VekoAqAkLFy6MOXPmVLsMjlKxANTX1xcREcuWLavUUwJATejp6Ym2trZql8FR5iQjXTNlduTIkXj++edLloJ7e3tj2bJlsW/fPm+qWdCOpaEdS0M7loZ2LJ1SteVMvvuSJIm+vj69R2VSsR6gE044IU499dSS/7ttbW0+4CWgHUtDO5aGdiwN7Vg61WjLOXPmeP3KyCRoACBzBCAAIHPqNgA1NzfHlVdeGc3NzdUupa5px9LQjqWhHUtDO5aOtkyvik2CBgCoFXXbAwQAMFMCEACQOQIQAJA5AhAAkDl1GYC2b98ea9asicWLF8dnPvOZMI97+u6+++4444wzoqGhIVauXBk7duyICG06U+eee27ceuutERHxwAMPRFdXV+RyubjmmmuqW1idufzyy+P8888fve39WJx//Md/jGXLlkVra2u8613vip/97GcRoR2nI5/Px/Lly2PPnj2j903Wbj7n6VF3AWhoaCjOP//8eOtb3xo//vGP46mnnhr9AmJyu3btiksuuSQ2bdoUv/jFL+Kss86KSy+9VJvO0O233x7f/e53IyJi//798cEPfjA2btwYjzzySNx+++1x//33V7nC+rBt27a44YYb4mtf+1pE+IwXa9euXfGFL3wh7r777nj66afjzDPPjIsvvlg7TkM+n4/169ePCT+TtZvPecokdebb3/52snjx4uTgwYNJkiTJT37yk+Ttb397lauqD9/5zneSf/iHfxi9fd999yUtLS3adAZeeuml5Dd+4zeSN73pTcktt9ySfPWrX03e/OY3J0eOHEmSJEnuuuuu5KKLLqpylbXv1VdfTc4555zkc5/73Oh93o/F2bJlS/LhD3949PbDDz+cLF26VDtOw3vf+97ka1/7WhIRye7du5Mkmfz953OeLnXXA/T444/H2rVro7W1NSIiuru746mnnqpyVfVh/fr18Sd/8iejt5955pno7OzUpjPwqU99Ki644IJYu3ZtRLz2vnz3u989emDh2WefHY8++mg1S6wLf//3fx9PPPFEnH766bF169YoFArej0VasWJF3HffffGTn/wkenp64oYbboj3ve992nEabrrppvjEJz4x5r7J2s3nPF3qLgD19vbG8uXLR2/PmTMn5s6dG6+88koVq6o/hUIhvvKVr8Sf/umfatMi3X///XHvvffG3/7t347eN74N29ra4vnnn69GeXWjv78/rrzyyjjjjDPiueeei69+9avxjne8w/uxSCtWrIjf//3fj1WrVsWiRYvikUceib/7u7/TjtNwdPuMmKzdfM7Tpe4CUENDwzFbks+bNy8GBgaqVFF9uvLKK2P+/Plx6aWXatMiDA4Oxsc+9rG48cYbY+HChaP3j29D7Te1f/3Xf42DBw/G/fffH5///Ofjnnvuib6+vrj55pu9H4vwox/9KL7zne/Ef/zHf8SBAwdi48aN8YEPfMDneoYmazef83SpuwC0ZMmS2L9//5j7+vr6oqmpqUoV1Z/77rsvrr/++rjjjjuisbFRmxbhi1/8YqxZsybOO++8MfePb0PtN7Wf//znsXbt2sjlchHx2hdPd3d3HDhwwPuxCN/4xjfiwgsvjHPOOSfa29vjb/7mb2LXrl0+1zM0Wbv5nKdLQ7ULKNaaNWvipptuGr29e/fuGBoaiiVLllSxqvqxe/fu2LhxY1x//fWxYsWKiNCmxbjjjjti//79sWjRooiIGBgYiG9+85sREfFbv/Vbo4977LHH4jd/8zerUWLdOPXUU+PQoUNj7nvuuefi2muvjeuuu270Pu/HyR05ciTy+fzo7b6+vtHeikceeWT0fu04PZP9f7hmzZq44447Rq/5nNe5as/CLtbw8HDyhje8Ibn55puTJEmSSy+9NFm/fn2Vq6oPAwMDyYoVK5I//uM/Tvr6+kZ/CoWCNp2mffv2Jbt37x792bBhQ/LlL3852b9/fzJv3rzknnvuSQqFQnLuuecml112WbXLrWn5fD5pa2tLbrzxxmTfvn3J1772tWTevHnJ3r17vR+LsGXLlqS1tTW55pprkttvvz1597vfnZx22mk+10WIo1aBTfYd43OeLnUXgJIkSe6+++6ktbU1OfHEE5M3vOENyZNPPlntkurCXXfdlUTEMT+7d+/WpjP00Y9+NLnllluSJEmSG2+8MWlsbEwWL16cLF++PPnlL39Z3eLqwMMPP5ysXbs2aWlpSc4444xk69atSZL4jBfjyJEjyRe+8IWko6MjaWxsTFatWpX853/+Z5Ik2nG6jg5ASTJ5u/mcp8ecJKnPrUF/+ctfxqOPPhpr166NE088sdrlpII2nb3du3fH008/Hb/9278dCxYsqHY5dc37sTS048xM1m4+5+lQtwEIAGCm6m4VGADAbAlAAEDmCEAAQOYIQABA5ghAAEDmCEAAQOYIQABA5ghAAEDmCEAAQOb8H7Re8IrcsqO4AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array(range(100))\n",
    "y = np.log(x)\n",
    "sns.jointplot(x=x,y=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# matplotlib 3D绘图\n",
    "\n",
    "# 3D 轴（属于 Axes3D 类）是通过将 projection=\"3d\" 关键字参数传递给 Figure.add_subplot 来创建的：\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.arange(100)\n",
    "y = np.sin(x)\n",
    "z = np.random.randint(0, 200, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 三角曲面图\n",
    "def tri_surface_3d():\n",
    "    n_radii = 8\n",
    "    n_angles = 36\n",
    "\n",
    "    # 将半径和角度设为等差数组（省略半径r=0以消除重复）\n",
    "    # start，stop，n，endpoint 默认endpoint为True，包含stop，为False不包含stop\n",
    "    radii = np.linspace(0.125, 1.0, n_radii)\n",
    "    angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)[..., np.newaxis]\n",
    "\n",
    "    # 将polar极坐标（半径、角度）转换为cartesian笛卡尔坐标（x、y）\n",
    "    # （0，0）在此阶段手动添加，因此（x，y）平面中的点不会重复\n",
    "    x = np.append(0, (radii * np.cos(angles)).flatten())\n",
    "    y = np.append(0, (radii * np.sin(angles)).flatten())\n",
    "\n",
    "    # 计算z以生成pringle surface普林格尔曲面\n",
    "    z = np.log(-x * y)\n",
    "\n",
    "    ax = plt.figure().add_subplot(projection='3d')\n",
    "    ax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\soft\\python3.7\\lib\\site-packages\\ipykernel_launcher.py:17: RuntimeWarning: divide by zero encountered in log\n",
      "  app.launch_new_instance()\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in log\n",
      "  app.launch_new_instance()\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\mpl_toolkits\\mplot3d\\axes3d.py:1744: RuntimeWarning: invalid value encountered in subtract\n",
      "  v1 = polygons[..., i1, :] - polygons[..., i2, :]\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\mpl_toolkits\\mplot3d\\axes3d.py:1745: RuntimeWarning: invalid value encountered in subtract\n",
      "  v2 = polygons[..., i2, :] - polygons[..., i3, :]\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\numpy\\core\\numeric.py:1653: RuntimeWarning: invalid value encountered in multiply\n",
      "  multiply(a1, b2, out=cp0)\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\numpy\\core\\numeric.py:1654: RuntimeWarning: invalid value encountered in multiply\n",
      "  tmp = array(a2 * b1)\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\numpy\\core\\numeric.py:1655: RuntimeWarning: invalid value encountered in subtract\n",
      "  cp0 -= tmp\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\numpy\\core\\numeric.py:1658: RuntimeWarning: invalid value encountered in subtract\n",
      "  cp1 -= tmp\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\mpl_toolkits\\mplot3d\\proj3d.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  txs, tys, tzs = vecw[0]/w, vecw[1]/w, vecw[2]/w\n",
      "d:\\soft\\python3.7\\lib\\site-packages\\IPython\\core\\pylabtools.py:151: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tri_surface_3d()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
